CpGassoc: Association between Methylation and a phenotype of interest
CpGassoc is designed to test for association between
methylation at CpG sites across the genome and a phenotype of
interest, adjusting for any relevant covariates. The package
can perform standard analyses of large datasets very quickly
with no need to impute the data. It can also handle mixed
effects models with chip or batch entering the model as a
random intercept. CpGassoc also includes tools to apply
quality control filters, perform permutation tests, and create
QQ plots, manhattan plots, and scatterplots for individual CpG
sites.
| Version: |
1.3 |
| Depends: |
R (≥ 2.10), nlme |
| Suggests: |
qvalue |
| Published: |
2012-07-18 |
| Author: |
Barfield, R., Conneely, K., Kilaru,V |
| Maintainer: |
R Barfield <rbarfield01 at fas.harvard.edu> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
no |
| CRAN checks: |
CpGassoc results |
Downloads: